Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Novel Visualization and Assessment of Osseous Tissues

Novel Visualization and Assessment of Osseous Tissues

Digital Poster

Musculoskeletal

Thursday, 14 May 2026

Digital Posters Row H

14:35 - 15:30

Session Number: 667-04

No CME/CE Credit

Similar Sessions

Novel MRI methods and applications that aim to better visualize or to quantitatively assess bone

		667-04-001. Rapid Multiparametric UTE MRI for In Vivo Compositional Assessment of Human Bone Soo Hyun Shin, Jiaji Wang, James Lo, Jiayang Wu, Arya Suprana, Jiyo Athertya, Eric Chang, Monica Guma, Jiang Du, Yajun Ma University of California, Berkeley, United States of America Impact: The multiparametric UTE protocol quantifies major bone components in vivo within a short scan time. This approach can provide a complete set of compositional information relevant to skeletal fragility and metabolic dysfunction that are not captured by mineral density alone.
		667-04-002. Bone reporting and data system (Bone-RADS) on CT versus MRI: a multicenter comparison study by four readers on 122 cases Jingyu Zhong, Yue Xing, Yangfan Hu, Yang Song, Weiwu Yao Tongren hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China Impact: Bone-RADS-CT and Bone-RADS-MRI are effective tools with high sensitivities for identifying the bone lesions that need treatment, but both have disadvantages of low specificities that lead to unnecessary treatment or referral, and potential of conflicting results that confuse the clinicians.
		667-04-003. Cortical Bone Matrix and Porosity Assessment in Osteoporosis and CKD-MBD Using Novel 3D UTE-MRI Biomarkers Arya Suprana, Yankai Meng, Jisook Yi, Jiayang Wu, Jiaji Wang, Jiyo Athertya, Soo Hyun Shin, Robert Sah, Yajun Ma, Saeed Jerban, Charles Ginsberg, Gina Woods, Jiang Du University of California, Berkeley, United States of America Impact: UTE-MRI measurements detect cortical bone matrix loss and porosity increase associated with osteoporosis and CKD-MBD, providing microstructural information not captured by DXA alone. These markers may improve fracture-risk assessment and monitor bone health in aging patients with metabolic bone disorders.
		667-04-004. Deep Learning Synthesis of Pseudo-CT from UTE-MRI for Temporal Bone Imaging Jinfu Niu, Chaoqun Zhou, Amaresha Konar Shridhar, Isadora Comens, Elizabeth Olson, Jeffrey Kysar, Anil Lalwani, Jia Guo Columbia University, New York, United States of America Impact: Radiation-free pseudo-CT synthesis from MRI offers safer temporal bone imaging, reducing dependence on CT while preserving diagnostic detail. Leading the way for MRI-only surgical planning and longitudinal follow-up.
		667-04-005. Characterization of cortical bone relaxation times at low magnetic field Fernando Ramírez Sarmiento, Steren Chabert, Marcelo Andia, Jean-Gabriel Minonzio Universidad de Valparaíso, Valparaíso, Chile Impact: We validate UTE-2D acquisition at $0.55~\text{T}$, enabling low-field characterization of cortical bone relaxation processes and supporting accessible, quantitative evaluation of bone fragility and fracture risk.
		667-04-006. Q-flow Assessment of Femoral Head Perfusion Impairment Following Femoral Neck Fractures Zhenhong Liao, Xiaoyong Zhang deyang people's hospital, Deyang, China Impact: Q-flow enables noninvasive quantification of blood flow changes after femoral neck fractures, helping clinicians assess vascular injury and the risk of impaired femoral head perfusion. This approach may guide individualized treatment, and inspire future research on for osteonecrosis prediction.
		667-04-007. Multimodal Imaging combined with finite element analysis to explore cortical bone microstructural damage in T1DM rabbits Chuanyun Jiang, Minzhi Pei, Weiyin Vivian Liu, Kejun Wang, Yufan Gao, Liang Li, Yunfei Zha Renmin Hospital of Wuhan University, Wuhan, China Impact: Multimodal imaging and finite element analysis revealed a progressive deterioration of increased cortical porosity, stress concentration, and microdamage accumulation. These findings provided a biomechanical basis for bone fragility in T1DM and highlighted early fracture prevention targets.
		667-04-008. Deep Learning-Based Background Removal in FRACTURE MRI Masami Yoneyama, Suranjita Ganguly, Daichi Murayama, TAKAYUKI SAKAI, Yogesh k Mariappan, Tejas Shah Philips Japan, Tokyo, Japan Impact: We present a deep learning model that removes bright background from FRACTURE images with 99% accuracy, enhancing comparability to CT and X-ray. This advancement improves MR-based bone imaging utility, moving toward MRI as a comprehensive, single-modality solution for musculoskeletal diagnostics.
		667-04-009. Efficient Diffusion-based Reconstruction for 3D Non-Cartesian UTE Imaging Jonas Petersen, Thomas Yu, Marcel Dominik Nickel, Thomas Küstner, Stefan Sommer Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany Impact: We present an efficient diffusion model for accelerated 3D radial UTE reconstruction that delivers consistent image quality, while reducing inference time by 75% compared to previous approaches, even outperforming unrolled networks trained on the same data in image quality.
		667-04-010. Ossification Variants and Juvenile Osteochondritis Dissecans May Represent a Developmental Spectrum: MRI Findings in Siblings Saumith Bachigari, Theo Nguyen, Karsten Knutsen, Eisa Hedayati, Abdul Wahed Kajabi, Takashi Takahashi, Jutta Ellermann University of Minnesota, Minneapolis, United States of America Impact: OV’s and JOCD occur more frequently in siblings of JOCD when compared to the baseline population. This combined with observing an OV developing into JOCD suggests these may be on a continuum of endochondral dysfunction rather than two distinct pathologies.
		667-04-011. Combined Shape Modeling Approaches for Patellofemoral Instability James Peters, Mingrui Yang, Richard Lartey, Carl Winalski, John Elias, Xiaojuan Li Cleveland Clinic, Cleveland, United States of America Impact: The stratification of shape, rotation, and translation changes across subjects and between bones using statistical shape models could lead to better characterization of musculoskeletal conditions such as patellofemoral instability and ultimately to more targeted treatments.
		667-04-012. Relationships between MRI-observed patellar motion and knee/limb tissue characteristics in hypermobile Ehlers-Danlos patients Carly Lockard, Roberto Pineda Guzman, Carson Osmond, Evelyn Bombard, Ruei-yuan Tu, Kaviamuthan Kanakaraju, Mariana Kersh, Christina Laukaitis, Bruce Damon Carle Health, Urbana, United States of America Impact: The results highlight the roles of the MPFL and PT in patellar kinematics and indicate that T₂*, which is known to correlate with tissue collagen organization/content, may be a useful biomarker for altered collagen properties/function in these structures.
		667-04-013. Whole-Body Staging MRI Incidental Findings: Significance and Follow-up among different primary malignancies Daniel Bao, Sajeev Sridhar, Diego Martin, Nakul Gupta Houston Methodist Hospital, Houston, United States of America Impact: WB-MRI in an oncologic patient population accurately characterizes most visceral organ and osseous incidental findings. Only a relatively small proportion of patients require immediate additional downstream imaging or procedures, of which a substantial number are ultimately found to be malignant/pre-malignant.
		667-04-014. Prediction of Osteoporosis in Postmenopausal Women Using Disc Signal Intensity Index Combined with Intervertebral Disc Height Xihan Xiang, Junrong Chen, Yuchen Liu Chengdu Sport University, Chengdu, China Impact: This study provided radiation-free MRI biomarkers combining disc signal and height to predict osteoporosis in postmenopausal women, enabling earlier detection and prevention of osteoporosis.
		667-04-015. Improved SNR and Acceleration of 1.5T Spine Imaging by Combining Flexible Surface Coils with the Built-in Spine Coil E Brian Welch, Brandon Pascual, John Murray, Johnny Sandhu, Chen Lin, Xiangzhi Zhou, Houchun Hu, Shengzhen Tao InkSpace Imaging, Pleasanton, California, United States of America Impact: Combining commercially available flexible coil arrays with the built-in spine coil within the MR scanner table increases SNR and improves acceleration performance for 1.5T spine imaging without suffering image quality issues from channel coupling.